Diagnosing decision quality

Author(s)
Davern, M. J., Mantena, R. and Edward, S. A.
Pages
16pp
Date published
01 Apr 2008
Publisher
Decision Support Systems
Type
Articles
Keywords
Assessment & Analysis, Development & humanitarian aid

Human decision making is error-prone and often subject to biases. Important information cues are misweighted and feedback delays hamper learning. Experimentally, task information has been shown to be valuable in improving decision making. However, such information is rarely available. Generalizing from lab-based approaches, we present a new field methodology for the “diagnosis of decision quality” (DDQ) that helps decision makers discover such information. We illustrate our approach in the context of hotel revenue management and demonstrate how it can identify context-specific systematic errors in decision making in a manner that facilitates adaptive changes and improved performance.